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中药丸剂干燥降速阶段的模拟研究:机理、模型与应用进展OA

Simulation of falling rate stage in drying of TCM pills:mechanisms,models,and applications

中文摘要英文摘要

干燥作为丸剂制备过程中的关键一环,是确保药品质量的关键步骤.在干燥过程中,通过选择科学的干燥工艺并控制温度、湿度等关键参数,可实现对干燥均匀度的控制,极大程度上保留药理活性.同时优化丸剂外观、硬度、溶散时限等,以确保药物品质良好及稳定释放.丸剂干燥过程主要体现为降速干燥.在丸剂的降速干燥阶段,若内部水分的扩散速度不及表面水分的蒸发速度,易造成表面硬化、裂纹、假干等质量缺陷,增大水蒸气传质过程的阻力,使得干燥速率降低.目前,模拟技术已逐渐应用于中药丸剂干燥研究中,在工艺优化、设备改进和质量控制等方面成效显著,为提升丸剂质量提供理论与技术支持,但现有模型多依赖经验参数,缺乏精确的物性数据库,导致模拟结果与实际情况存在偏差.因此,未来的研究方向应聚焦于引入人工智能辅助的模型参数辨识与优化技术,应用数字孪生技术对干燥过程进行实时监控,向着绿色、低碳、低能耗的可持续生产发展,不断突破丸剂干燥过程中的技术瓶颈,推动中药丸剂生产设备的快速升级.

Drying,as a crucial stage in the preparation of pills,serves as a key step in ensuring pharmaceutical quality.During this process,the adoption of a scientifically drying method and the precise control of critical parameters such as temperature and humidity enable effective regulation of drying uniformity,thereby maximizing the retention of pharmacological activity while optimizing pill appearance,hardness,and disintegration time and ensuring the good quality of the drugs and their stable release.The drying process of pills is predominantly characterized by a falling rate drying stage.In this stage,if the rate of internal moisture diffusion fails to match the rate of surface moisture evaporation,quality defects such as surface hardening,cracking,and false drying may occur.These issues increase the resistance to water vapor mass transfer,further reducing the drying rate.At present,simulation technologies have been increasingly applied in the study of drying processes for TCM pills,achieving significant progress in process optimization,equipment improvement,and quality control and thereby providing theoretical and technical support for quality enhancement.However,existing models largely rely on empirical parameters and lack accurate databases of physical properties,leading to discrepancies between simulation results and practical outcomes.Consequently,future research should focus on integrating artificial intelligence-assisted techniques for model parameter identification and optimization,applying digital twin technology for real-time monitoring of drying processes,and advancing toward sustainable production characterized by green,low-carbon,and energy-efficient approaches.Such efforts will continuously overcome technical bottlenecks in pill drying and accelerate the upgrading of production equipment for TCM pills.

谢瑶婷;王学成;王翔;李远辉;朱雯婷;王雅琪;易兵;伍振峰

江西中医药大学 现代中药制剂教育部重点实验室,江西 南昌 330004||经典名方现代中药创制全国重点实验室,江西 南昌 330004江西中医药大学 现代中药制剂教育部重点实验室,江西 南昌 330004||中药制药技术协同创新研究院,江西 南昌 330004江西中医药大学 现代中药制剂教育部重点实验室,江西 南昌 330004江西中医药大学 现代中药制剂教育部重点实验室,江西 南昌 330004||中药制药技术协同创新研究院,江西 南昌 330004江西中医药大学 现代中药制剂教育部重点实验室,江西 南昌 330004||中药制药技术协同创新研究院,江西 南昌 330004江西中医药大学 现代中药制剂教育部重点实验室,江西 南昌 330004||经典名方现代中药创制全国重点实验室,江西 南昌 330004江西赫柏康华制药设备有限公司,江西 南昌 330096江西中医药大学 现代中药制剂教育部重点实验室,江西 南昌 330004||经典名方现代中药创制全国重点实验室,江西 南昌 330004

中药丸剂降速干燥阶段数值模拟传热传质模型人工智能数字孪生

TCM pillsfalling rate drying phasenumerical simulationheat and mass transfer modelartificial intelligencedigital twin

《中国中药杂志》 2026 (7)

1817-1825,9

国家自然科学基金项目(82460774)江西省主要学科学术和技术带头人青年人才培养项目(20243BCE51110)江西中医药大学重点学科建设经费项目(2023jzzdxk017)

10.19540/j.cnki.cjcmm.20251205.302

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